Tech··10 min
Big O Notation, Explained Without a Math Degree
Big O isn't math for its own sake. It answers one practical question: when your input gets 10x or 1000x bigger, does your code get 10x slower, 1000x slower, or barely slower at all? Here's how to read the shapes without the limit definition.
algorithmsbig-ocomplexity